00:01
This question is given the weights of naval oranges is normally distributed with the mean of 8 ounces and standard deviation 1 .5 ounces.
00:12
So the x is the weight of a naval orange.
00:15
So x follows the normal distribution.
00:17
Mean is 8.
00:18
Standard deviation is 1 .5.
00:20
So variance will be 1 .5 square.
00:23
Now, proportion of oranges that weigh more than 11 .5 ounces.
00:29
So we're looking at probability of x greater than 11 .5.
00:36
Now let's draw the normal distribution.
00:41
So it will look like this.
00:44
So this will be for the normal distribution of fx, x follows the normal distribution.
00:50
The mean is it, variance is 1 .5 square.
00:59
The normal distribution is symmetrical about the center and that's the mean.
01:07
And that's that would be 8.
01:10
Now we're looking at greater than 11 .5.
01:13
So 11 .5 is over here.
01:16
So greater than 11 .5, we're looking at this part here, this shaded part here, the area under the normal curve here.
01:23
Now, we want to do standard normal.
01:26
So we know that standard normal is z, and there is x minus the mean, divided by standard deviation.
01:36
So what i'm going to do is i'm going to apply an x minus the mean, which is on both sides and then divide by the standard deviation which is 1 .5.
01:49
So now this part will become your standard normal which is your z and over here this would be 7 over 3...